B650D4U-2L2T/BCM
Geekbench AI Score
30008
Single Precision Score
40025
Half Precision Score
24285
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | danm1988 |
| Upload Date | June 26 2025 01:06 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 9070 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | B650D4U-2L2T/BCM |
| Motherboard | ASRockRack B650D4U-2L2T/BCM |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | AMD EPYC 4584PX 16-Core Processor |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 192.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10526
1.96 KIPS |
|
|
Image Classification (HP)
|
100% |
11211
2.08 KIPS |
|
|
Image Classification (Q)
|
99% |
10952
2.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19899
322.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
26302
426.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
18516
301.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
227629
265.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
643950
751.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
206971
242.4 IPS |
|
|
Object Detection (SP)
|
100% |
10977
870.7 IPS |
|
|
Object Detection (HP)
|
99% |
13452
1.07 KIPS |
|
|
Object Detection (Q)
|
87% |
9625
773.0 IPS |
|
|
Face Detection (SP)
|
100% |
38902
462.2 IPS |
|
|
Face Detection (HP)
|
100% |
44414
527.7 IPS |
|
|
Face Detection (Q)
|
97% |
34285
408.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
90053
693.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
127847
985.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
74905
600.3 IPS |
|
|
Style Transfer (SP)
|
100% |
378023
486.0 IPS |
|
|
Style Transfer (HP)
|
100% |
661040
849.8 IPS |
|
|
Style Transfer (Q)
|
98% |
308579
397.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
49849
1.84 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
59986
2.21 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34866
1.29 KIPS |
|
|
Text Classification (SP)
|
100% |
3016
4.03 KIPS |
|
|
Text Classification (HP)
|
100% |
3285
4.38 KIPS |
|
|
Text Classification (Q)
|
97% |
2287
3.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
5682
97.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5586
96.2 IPS |
|
|
Machine Translation (Q)
|
70% |
2796
52.4 IPS |
